Findings from Moscow MV Lomonosov State University Has Provided New Data on Mach ine Learning (Machine Learning for Reconstruction of Polarity Inversion Lines Fr om Solar Filaments)
Findings from Moscow MV Lomonosov State University Has Provided New Data on Mach ine Learning (Machine Learning for Reconstruction of Polarity Inversion Lines Fr om Solar Filaments)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news originating from Moscow, Russia, by Ne wsRx correspondents, research stated, "Solar filaments are well-known tracers of polarity inversion lines that separate two opposite magnetic polarities on the solar photosphere. Because observations of filaments began long before the syste matic observations of solar magnetic fields, historical filament catalogs can fa cilitate the reconstruction of magnetic polarity maps at times when direct magne tic observations were not yet available." Financial support for this research came from Russian Science Foundation (RSF).
Key words
Moscow/Russia/Cyborgs/Emerging Techno logies/Machine Learning/Moscow MV Lomonosov State University
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